Features of the program
Cutting Edge Subjects
Deep neural networks, Tensorflow, Natural Language Processing, Knowledge Graphs, etc.
Teaching Faculty
Leading professors in deep learning will teach you during the summer school.
Learn MoreGet an opportunity to meet deep learning experts
Wenguang Chen
Wenguang Chen is a professor in Department of Computer Science
and Technology, Tsinghua University. His research interest
is in parallel and distributed systems, programming model,
and mobile computing. He received the Bachelor’s and
Ph.D. degrees in computer science from Tsinghua University
in 1995 and 2000 respectively. Before joining Tsinghua
in 2003, he was the CTO of Opportunity International Inc.
He was appointed as the associate head of Department
of Computer Science and Technology from 2007 to 2014.
He has published over 50 papers in international conferences
and journals like Supercomputing, EuroSys, USENIX ATC,
OOPSLA, ICSE. He is a distinguished member and distinguished
speaker of CCF( China Computer Foundation). He is an
ACM member, vice chair of ACM China Council, and
Editor-in-Chief of Communications of ACM( China Edition).
He serves in the program committee of many conferences,
such as PLDI 2012,PPoPP 2013、2014, SC 2015, ASPLOS 2016,
CGO 2014,2016, IPDPS 2011, CCGrid 2014, ICPP 2009、2010、2011、
2015,APSYS 2011、2013、2015.He received the Distinguished
Young Scholar Award of Natural Science Foundation in 2015.
Peng Cui
Peng Cui is an Associate Professor in Tsinghua University. He got his PhD degree from Tsinghua University in 2010. His research interests include network representation learning, social dynamics modeling and human behavioral modeling. He has published more than 60 papers in prestigious conferences and journals in data mining and multimedia. His recent research won the ICDM 2015 Best Student Paper Award, SIGKDD 2014 Best Paper Finalist, IEEE ICME 2014 Best Paper Award, ACM MM12 Grand Challenge Multimodal Award, and MMM13 Best Paper Award. He is the Area Chair of ICDM 2016, ACM MM 2014-2015, IEEE ICME 2014-2015, ICASSP 2013, Associate Editor of ACM TOMM, Elsevier Journal on Neurocomputing. He was the recipient of ACM China Rising Star Award in 2015.
Xiaolin Hu
Xiaolin Hu received the Ph.D. degree in automation and computer-aided engineering from The Chinese University of Hong Kong, Hong Kong, in 2007. He is currently an Associate Professor with the Department of Computer Science and Technology, Tsinghua University, Beijing, China. He is working in the interface between artificial intelligence and neuroscience. He has published over 50 papers in international journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics, PLoS ONE, Neural Computation, European Journal of Neuroscience, Journal of Neurophysiology, Frontiers in Human Neuroscience, CVPR, NIPS. He is an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems.
Minlie Huang
Dr. Minlie Huang, full professor of Tsinghua University, deputy director of the Intelligent Technology and Systems Laboratory, deputy director of the Foundation Model Center of Tsinghua University. He was selected as National Distinguished Young Scholar. His research fields include large-scale language models, dialogue systems, and language generation. He authored the book "Modern Natural Language Generation". He published more than 150 papers in premier conferences and journals, with more than 16,000 Google Scholar citations, h-index 62, selected as Elsevier China's Highly Cited Scholar in 2022, and selected for the AI 2000 list of the world's most influential AI scholars for three consecutive years; He has won several best papers or nominations at major international conferences (IJCAI, ACL, SIGDIAL, etc.). He led the development of several pretrained models including CDial-GPT, EVA, OPD, CPM, CharacterGLM. He serves as associate editors for TNNLS, TACL, CL, and TBD, and has served as the senior area chair of ACL/EMNLP/IJCAI/AAAI for more than 10 times. His homepage is located at http://coai.cs.tsinghua.edu.cn/hml/.
Qingyao Ai
Qingyao Ai is an Assistant Professor at Department of Computer Science and Technology, Tsinghua University. His research mainly focuses on Information Retrieval and Machine Learning related topics. Currently he is working on applying machine learning techniques on IR problems including ranking optimization, document retrieval, conversational search, and more.
Zhiyuan Liu
Zhiyuan Liu is an associate professor at the Department of Computer Science and Technology in Tsinghua University. He received his PhD degree in Computer Science from Tsinghua in 2011. His research interests include representation learning, knowledge graphs and social computation., and has published more than 30 papers in top-tier conferences and journals of AI and NLP, cited by more than one thousand times according to Google Scholar. He is a recipient of the Best PhD Thesis of Tsinghua University, the Best PhD Thesis of CAAI (Chinese Association for Artificial Intelligence), and Outstanding Post-Doctoral Fellow in Tsinghua University. He serves as Youth Associate Editor of Frontiers of Computer Science, PC members of ACL, IJCAI, AAAI, etc.
Huaping Liu
Huaping Liu is currently a Professor with the Department of Computer Science and Technology, Tsinghua University, Beijing, China. He received Fund of Distinguished Young Scholar by the Natural Science Foundation of China. Currently he serve as Senior Editor of International Journal of Robotics Research and he has served as Area Chair for Robotics: Science and Systems (RSS) for several times. His research interests include embodied perception and learning.
Jun Zhu
Dr. Jun Zhu is a Professor at the Department of Computer Science and Technology in Tsinghua University and the Director of Basic Theory Research Center at the Tsinghua Institute for AI. He was an Adjunct Faculty at the Machine Learning Department in Carnegie Mellon University from 2015 to 2018. Dr. Zhu received his B.E. and Ph.D. degrees in Computer Science from Tsinghua in 2005 and 2009, respectively. Before joining Tsinghua in 2011, he did post-doctoral research in Carnegie Mellon University. His research interest lies in machine learning and applications in text and image analysis. Dr. Zhu has published over 100 papers in the prestigious conferences and journals. He is an associate editor-in-chief for IEEE Trans. on PAMI. He served as area chair/senior PC for ICML, NeurIPS, ICLR, IJCAI, UAI, AAAI, and AISTATS. He was a local co-chair of ICML 2014. He is a recipient of several awards, including Xplorer Prize, IEEE Intelligent Systems "AI's 10 to Watch" Award, MIT TR35 China, NSFC Excellent Young Scholar Award, CCF Young Scientist Award, and CCF first-class Natural Science Award.
Jie Tang
Dr. Jie Tang is a Full Professor and the Associate Chair of the Department of Computer Science and Technology of Tsinghua University. He obtained his Ph.D. in DCST of Tsinghua University in 2006. His research interests include artificial intelligence, data mining, social networks , machine learning and knowledge graph, with an emphasis on designing new algorithms for mining social and knowledge networks.
He has been visiting scholar at Cornell University (working with Prof. John Hopcroft and Jon Kleinberg), University of Southampton (working with Dame Wendy Hall), KU Leuven (working with Marie-Francine Moens), University of Illinois at Urbana-Champaign (short term, working with Jiawei Han), Chinese University of Hong Kong (working with Jeffrey Yu), and Hong Kong University of Science and Technology (working with Qiong Luo). During his graduate career, he has been an intern at NLC group of Microsoft Research Asia from 2004 to 2005. He also has attended the internship program of IBM China Research Lab in 2004.
He has published more than 200 journal/conference papers and hold 20 patents. He served as PC Co-Chair of CIKM’16, WSDM’15, Associate General Chair of KDD’18, and Acting Editor-in-Chief of ACM TKDD, Editors of IEEE TKDE, IEEE TBD, and ACM TIST. He is leading the project AMiner.org for academic social network analysis and mining, which has attracted more than 10 million independent IP accesses from 220 countries/regions in the world. He was honored with the UK Royal Society-Newton Advanced Fellowship Award, CCF Young Scientist Award, NSFC for Distinguished Young Scholar, and KDD’18 Service Award.
Guoliang Li
Guoliang Li is a full professor at Tsinghua University. His research interests include database, big data, large-scale data cleaning and integration. He got VLDB 2017 Early Research Contribution Award, TCDE 2014 Early Career Award, VLDB 2023 Industry Best Paper Runner-up, CIKM 2017 Best Paper Award, VLDB 2020 Best Papers, KDD 2018 Best Papers, ICDE 2018 Best Papers, DASFAA 2023 Best Paper Award, DASFAA 2014 Best Paper Runnerup, APWeb 2014 Best Paper Award, EDBT 2013 Similarity Join and Search Champion. He was SIGMOD 2021 general chair.
